LinkedIn is an illustrious website that helps professionals connect with one another. It is also a portal for people to display their skills as well as the path that their career has taken through the years. It contains a variety of information ranging from education, knowledge to checkpoints in their career.
Employers also use this platform for recruiting professionals. So it is a useful tool which is slowly becoming a necessity for people entering into the corporate world. Navigation and understanding crucial skills for their profession of choice and the location they would flourish goes a long way in crafting a successful career.
The World Bank Group - Linkedin Digital Data for Development1 attempts to harness LinkedIn data covering more than 100 countries. For the purpose of this report the following datasets will be accessed:
The above excel sheets will be utilized for charting trends based on industry skills, migration of talent across the globe and global employment growth statistics.
The report will be charting the trends in LinkedIn across all fields. It will be delving into the kind of skills that are gaining or losing popularity across different verticals as well as what the top few must have skills are for all working professionals.
The other useful component for young professionals is what the migration trends are with respect to their skills and which place would give them space to learn and display their potential.
The final aspect but supremely important one is whether the global employment trends are conducive to their growth. Only upon knowing this aspect is it possible for them to decide whether migration is a good option or upskilling is necessary.
In order to analyse the different skill categories by vertical the excel sheet for industry skill needs has to be used. Upon importing this data the below steps must be taken to generate 5.1:
Figure 5.1: Trend of skill categories across the different verticals by year
In order to analyse the top 10 useful skills on LinkedIn by year, the excel sheet for industry skill needs has to be used. Upon importing this data the below steps must be taken to generate 5.2:
Figure 5.2: Trend in change of useful skills across occupations
It is observed the most likely to emigrate are high-skilled workers, in particular those with management, research, and leadership skills. LinkedIn best tracks migrations between high-income countries, probably because economic migration of skilled workers makes up a larger share of the migration between those countries than between low-income countries, where it is more likely that migration is forced.
In order to analyze the annual net migration globally, we have referred to the country sheet of talent migration, assessing average net migration for each base country from the year 2015-2019, generating 5.3
Figure 5.3: Global Migration from 2015-2019
In above map, negative net migration(red) indicates outflow of talent i.e. emigration and positive net migration(blue) indicates inflow of talent i.e.immigration
5.1 refers to the top 5 countries with highest average net migration for talented skilled workers. This has been calculated by grouping together base countries and calculating average net migration from the period 2015-2019.
| Country Name | Net Migration |
|---|---|
| Cuba | -11.336000 |
| Jamaica | -8.832500 |
| Haiti | -6.900000 |
| Fiji | -6.633333 |
| Benin | -5.530000 |
5.2 refers to the top 5 countries with highest average immigration for talented skilled workers. This has been calculated by grouping together base countries and calculating average net immigration from the period 2015-2019.
| Country Name | Net Migration |
|---|---|
| Georgia | 8.535556 |
| Luxembourg | 8.201111 |
| Gabon | 6.656000 |
| Papua New Guinea | 4.104000 |
| Cyprus | 2.956875 |
5.3 has been built to find the country with maximum gains in terms of skilled worker for each industry. It has been calculated using the average migration from the period 2015-2019 for each industry and picked out the top ranking country in terms of net migration.
| Industry Name | Country Name |
|---|---|
| Accommodation and food service activities | Myanmar |
| Administrative and support service activities | Luxembourg |
| Agriculture, forestry and fishing | United Arab Emirates |
| Arts, entertainment and recreation | Malta |
| Construction | Luxembourg |
| Education | Luxembourg |
| Electricity, gas, steam and air conditioning supply | Qatar |
| Financial and insurance activities | Luxembourg |
| Human health and social work activities | United Arab Emirates |
| Information and communication | Luxembourg |
| Manufacturing | Luxembourg |
| Mining and quarrying | Kuwait |
| Not_mapped | Switzerland |
| Other service activities | Luxembourg |
| Professional scientific and technical activities | Luxembourg |
| Public administration and defence; compulsory social security | Myanmar |
| Real estate activities | Luxembourg |
| Transportation and storage | Luxembourg |
| Wholesale and retail trade; repair of motor vehicles and motorcycles | Luxembourg |
Most high-skilled workers, in particular those with management, research, and leadership skills, choose to migrate into a skill with lucrative opportunities and growth. In Figures 5.4 and 5.5 we observe the top 5 skill gains of Tech industry and Business Industry.
Figure 5.4: Top 5 Skill gains in Tech Industry from 2015-2019
Figure 5.5: Top 5 Skill gains in Business Industry from 2015-2019
After examining 5.1, the below highlights were taken note of: - Soft skills are the one set of skills that people have increasingly found need for across all the verticals. - Business skills are finding less and less takers by the year. - Specialized industry skills seem to have seen volatility as they were in decline up until 2017-2018 but with the arrival of 2019 they saw a significant boost in demand. - Disruptive technological skills do not seem to have caught on yet except for the Information and Communication segment. - Mining and Quarrying have seen no disruptive tech skills growth whatsoever. - Despite fintech2 sweeping across the world, among the people employed in the field of financial and insurance activities little to no technical skills seem to be visible.
After examining 5.2, the below highlights were taken note of:
| Category of Skill | Number of times it occurs in top 10 |
|---|---|
| Business Skills | 5 |
| Soft Skills | 4 |
| Specialized Industry Skills | 2 |
| Tech Skills | 3 |
Top Skill Gains in 2019 due to migration
Tech
- Data-Driven Analytics
- Web Hosting - Upcoming skills with Cloud computing trend
- Game Development
- Computer Graphics
- Signal Processing
Business
- Debt Collection
- Competitive Strategies
- Customer Service Systems
- Affiliate Marketing - Upcoming skills like Amway, ClixGalore
- Tax Accounting and Bookkeeping - Traditional professions have shown a downward trend
Professionals in today’s day and time are always looking for opportunities to grow in terms of their career. There are multiple aspects to this growth and the environment needed to enrich the growth.
Skills are front and center in terms of must-haves for a fruitful career. From the analysis it is clear that soft skills are a necessity regardless of vertical. Business skills have no longer remained the mainstay that they used to be and tech skills are here to stay however their disruptiveness in every sector is up for debate.
As one chooses to upskill, they find it harder to stay stationary within their old environment and migrate to greener pastures. From above trends it is observed that hard skills like Data Driven Analytics and Web Hosting has seen an upward trend in terms of skill gain due to migration. This can be credited to expanding technology. Business Skills like Competitive Strategies and Affiliate marketing are new age era skills that have a potential market.
However we also need to consider whether the current economy is at the state where such activities are possible and employment growth would directly relate to whether the upskilling has to do with retaining jobs or switching them out. The Information and communication sector has a rapid boom in recent years which indicates that there are larger demand of labor whereas the recession in traditional media and communications sectors cause more and more labor being laid off.
Wickham et al. (2019) Sievert (2020) Zhu (2021) South (2017) Garnier (2018) Pebesma (2018)